3 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.SP2022
Hypothesis Test Procedures for Detecting Leakage Signals in Water Pipeline Channels
Liusha Yang, Matthew R. McKay, Xun Wang
We design statistical hypothesis tests for performing leak detection in water pipeline channels. By applying an appropriate model for signal propagation, we show that the detection…
cs.LG2022★ 3 cited
Understanding Adversarial Robustness Against On-manifold Adversarial Examples
Jiancong Xiao, Liusha Yang, Yanbo Fan +2
Deep neural networks (DNNs) are shown to be vulnerable to adversarial examples. A well-trained model can be easily attacked by adding small perturbations to the original data. One…
cs.LG2020★ 2 cited
Optimally Combining Classifiers for Semi-Supervised Learning
Zhiguo Wang, Liusha Yang, Feng Yin +3
This paper considers semi-supervised learning for tabular data. It is widely known that Xgboost based on tree model works well on the heterogeneous features while transductive supp…